Instructions to use CodeDPO/AceCodeRM-LLama3.1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeDPO/AceCodeRM-LLama3.1-8B with Transformers:
# Load model directly from transformers import AutoTokenizer, AceCoderLlamaForCausalRM tokenizer = AutoTokenizer.from_pretrained("CodeDPO/AceCodeRM-LLama3.1-8B") model = AceCoderLlamaForCausalRM.from_pretrained("CodeDPO/AceCodeRM-LLama3.1-8B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a10ed474fbaa408939f315cc529d6e507b6195d0b5e179a3b74a6240ac1106ce
- Size of remote file:
- 17.2 MB
- SHA256:
- 7389e002692fc9e3a3d9f9884a9e9d5657e2a4406bf9759a3703abe8a3485402
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